Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions
arXiv:2605.02699v1 Announce Type: cross
Abstract: Learning data-efficient object dynamics models for robotic manipulation remains challenging, especially for deformable objects. A popular approach is to model objects as sets of 3D particles and learn …